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Creators/Authors contains: "Rakotondravony, Noelle"

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  1. ; ; ; ; (, IEEE Conference on Software Analysis, Evolution and Reengineering (SANER) Workshop on Validation, Analysis and Evolution of Software Tests)
    Interactive web-based applications play an important role for both service providers and consumers. However, web applications tend to be complex, produce high-volume data, and are often ripe for attack. Attack analysis and remediation are complicated by adversary obfuscation and the difficulty in assembling and analyzing logs. In this work, we explore the web application analysis task through log file fusion, distillation, and visualization. Our approach consists of visualizing the logs of web and database traffic with detailed function execution traces. We establish causal links between events and their associated behaviors. We evaluate the effectiveness of this process using data volume reduction statistics, user interaction models, and usage scenarios. Across a set of scenarios, we find that our techniques can filter at least 97.5% of log data and reduce analysis time by 93-96%. 
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    Accepted Manuscript Full Text Available